One of the more effective ways of managing high densities of adult mosquitoes that vector human and animal pathogens is ultra-low-volume (ULV) aerosol applications of insecticides. The U.S. Environmental Protection Agency uses models that are not validated for ULV insecticide applications and exposure assumptions to perform their human and ecological risk assessments. Currently, there is no val...

The instability of wind power poses a great threat to the security system, and accurate prediction is beneficial large-scale entry into grid. To improve accuracy prediction, short-term multi-step model with error correction proposed, which includes complete ensemble empirical mode decomposition adaptive noise (CEEMDAN), sample entropy (SE), improved beetle antennae search (IBAS) kernel extreme ...

This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitable for practical model selection from small and noisy data sets of image measurements (normal flow). The method addresses the aperture problem by using the penalized risk (ridge regression). We demonstrate an applicatio...

In this paper, we tackle the problem of feature-efficient prediction: classification using a limited number of features per test example. We show that modifying an ensemble classifier such as AdaBoost, by sampling hypotheses from its final weighted predictor, is well-suited for this task. We further consider an extension of this problem, where the costs of examining the various features can dif...

In associative learning in mammals, it is widely accepted that the discrepancy, or error, between actual and predicted reward determines whether learning occurs. Complete evidence for the prediction error theory, however, has not been obtained in any learning systems: Prediction error theory stems from the finding of a blocking phenomenon, but blocking can also be accounted for by other theorie...

This study examines the economic consequences of internet financial reporting (IFR) in Taiwan. The results show that the stock prices of IFR firms change more quickly than those of the non-IFR firms using Akaike’s (1969) Final Prediction Error (FPE) methodology. Second, the results from the event study methodology show that the cumulative abnormal returns of the firms with IFR are significantly...

In this article, we propose a novel application for Support Vector Regression (SVR) for strategies of executing orders on stock exchanges. We use SVR for predicting volume participation function in execution strategies which try to achieve Volume Weighted Average Price (VWAP) measure of quality of the execution. Moreover, we use SVR with a priori knowledge about stock prices in order to further...

Based on wavelet representation theory, this paper proposes a novel identification algorithm with random missing data under the condition that the identified dynamic process can be described as an output error (OE) model structure. This new algorithm mainly consists of two stages: one is the wavelet reconstruction, the other the prediction for missing data using the identified model. For the sa...